Humans have a visual bias, even hundreds of thousands of years after our pattern recognition skills evolved due to prehistoric habits of hunting and predator avoidance. In a newspaper or a scientific article, a well-designed graphic or picture can often convey information more quickly and efficiently than raw data or a lengthy chunk of text. And as the era of data science is dawning, the interpretative role of visualization is more important than ever. It's hard to even imagine the size of a petabyte of data, much less the complex analysis necessary to extract knowledge from the flood of information within.
Fortunately, scientists and engineers were studying this need for visualization long before Big Data became a buzzword. The Electronic Visualization Laboratory, housed at the University of Illinois at Chicago, has been active in this field long enough to have done special effects work on the original Star Wars. EVL researchers have pioneered methods in computer animation, virtual reality and touchscreen displays, and adapted those technologies for use by scientists in academia and industry. But in EVL director Jason Leigh's talk at the University of Chicago Medical Center on January 29th, the killer app he focused the most on was almost as old as those hunter-gatherer ancestral humans: collaboration.